Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained Nonnegative Matrix Factorization.
Denggang LiShutao LiHuali LiPublished in: CCPR (2) (2014)
Keyphrases
- nonnegative matrix factorization
- hyperspectral images
- minimum volume
- hyperspectral
- hyperspectral data
- negative matrix factorization
- matrix factorization
- data representation
- hyperspectral imagery
- remote sensing
- novelty detection
- sparse representation
- least squares
- spectral clustering
- principal component analysis
- random projections
- multispectral
- original data
- high dimensional
- target detection
- objective function
- document clustering
- infrared
- information content
- machine learning
- data clustering
- text classification
- image data
- pattern recognition
- information retrieval